我正在尝试使用kdtree crate来探索从采样点进行函数逼近。
我有一个结构,它应该有一个kdtree成员。KdTree的类型是泛型的,第三个参数让我头疼:
pub struct KdTree<A, T, U: AsRef<[A]>> { /* fields omitted */ }这是我的尝试:
use kdtree;
pub struct Approximator {
tree: kdtree::KdTree<f32, f32, AsRef<[f32]>>,
}我得到的错误是
error[E0277]: the size for values of type `(dyn std::convert::AsRef<[f32]> + 'static)` cannot be known at compilation time
--> src/main.rs:4:5
|
4 | tree: kdtree::KdTree<f32, f32, AsRef<[f32]>>,
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ doesn't have a size known at compile-time
|
= help: the trait `std::marker::Sized` is not implemented for `(dyn std::convert::AsRef<[f32]> + 'static)`
= note: to learn more, visit <https://doc.rust-lang.org/book/ch19-04-advanced-types.html#dynamically-sized-types-and-the-sized-trait>
= note: required by `kdtree::kdtree::KdTree`我如何编写它才能编译它?我的Approximator也会有一些运行时的dimension,这取决于我试图近似的函数的n阶数。
发布于 2020-05-04 05:18:40
我想我已经弄明白了。当您粘贴文档中的示例代码时
let a: ([f64; 2], usize) = ([0f64, 0f64], 0);
let b: ([f64; 2], usize) = ([1f64, 1f64], 1);
let c: ([f64; 2], usize) = ([2f64, 2f64], 2);
let d: ([f64; 2], usize) = ([3f64, 3f64], 3);
let dimensions = 2;
let mut kdtree = KdTree::new(dimensions);
kdtree.add(&a.0, a.1).unwrap();
kdtree.add(&b.0, b.1).unwrap();
kdtree.add(&c.0, c.1).unwrap();
kdtree.add(&d.0, d.1).unwrap();您知道kdtree的类型是kdtree::kdtree::KdTree<f64, usize, &[f64; 2]>。
https://stackoverflow.com/questions/56049747
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